SIPLAB: Sensing, Interaction & Perception Lab
In the SIPLAB at ETH Zürich, we're a cross-disciplinary research group in embodied perception, computational interaction, and mobile health. Our research stretches across mixed reality, robotics, human-computer interaction, and machine learning. We are part of the Department of Computer Science, affiliated with the Department of Information Technology & Electrical Engineering, and HCI@ETH.
Projects to appear and recent research
Emotion Recognition for Chatbots
Multimodal analyses for Human-Chatbot Interaction in the WildRelative Position Tracking on Moving Nodes without Anchors
Fusing UWB Ranging and Inertial State EstimationTouchInsight
Uncertainty-aware Rapid Touch and Text Input for Mixed Reality from Egocentric VisionSituationAdapt
Contextual UI Optimization in Mixed Reality with Situation Awareness via LLM ReasoningHistoLab VR
Virtual Reality Game-based Learning for Hazard AwarenessMANIKIN
Biomechanically Accurate Neural Inverse Kinematics for Human Motion EstimationEgoPoser
Robust Real-Time Egocentric Pose Estimation from Sparse and Intermittent Observations EverywhereAffiliations and collaborations
We often collaborate with research groups in the Robotics, Systems and Control (RSC) program at the Department of Mechanical and Process Engineering, the Department of Health Sciences and Technology, and the USZ/Medicine at University of Zurich.
We are part of ETH's Competence Centre for Rehabilitation Engineering and Science (ETH RESC). We are also affiliated with the ETH AI Center, the Max Planck ETH Center for Learning Systems (CLS), the ELLIS Unit Zürich, and the Zurich Information Security & Privacy Center (ZISC).